Browsing Harita Mühendisliği Bölümü Koleksiyonu by Issue Date
Now showing items 1-20 of 28
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Automatic Classification of COVID-19 using CT-Scan Images
(Universidade Estadual de Maringa, 2021)Medicine and engineering sciences have been working in close contact for common purposes. Machine learning algorithms are used in the medical field for early diagnosis prediction. The major aim of this study is to evaluate ... -
QUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE
(2021)Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral ... -
Evaluation of the process for acquisition of land property in the implementation of power transmission line projects
(Geomatik Journal, 2021)While preparing PTL (Power Transmission Line) projects, the land where the PTL is crossing is determined by considering criteria such as economy, environment and security. The realization of PTL projects is possible after ... -
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)Cancer is among the common causes of death around the world. Skin cancer is one of the most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition to traditional methods, method such ... -
Analyzing and Predicting Spatiotemporal Urban Sprawl in Eskişehir Using Remote Sensing Data
(Springer, 2022)Urban areas of major cities in developing countries are expanding rapidly due to rapid population growth and industrialization. Determining the reasons for rapid urbanization and the amount of urban area that will be needed ... -
Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
(Springer Science and Business Media Deutschland GmbH, 2022)Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because ... -
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
(Elsevier B.V., 2022)COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a contagious and deadly disease that has devastating effects on society and human life. COVID-19 can cause serious complications, especially in patients ... -
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
(SPRINGER, 2022)Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick ... -
The effect of tourism and legalization policies on summer pasture in Turkey
(Murat Yakar, 2022)In Turkey, according to Pasture Law, land allocated for farmers to spend the summer with their animals, graze their animals and benefit from grass is defined as “summer pasture (yaylak in Turkish).” Summer pasture is of ... -
GIS-based determination of potential instabilities and source rock areas on the Torul-Kürtün (Gümüşhane) motorway, rockfall, and protection structure analyses
(Springer Nature, 2022)The Torul-Kürtün-Tirebolu motorway, one of the alternative routes for access between the Eastern Anatolia Region and the Black Sea Region, has an important traffic potential in this respect. However, rockfall events that ... -
Fruit Detection from Apple Orchard Using Point Cloud Data
(TUBITAK, 20222)Meyve konumlarının güvenilir olarak tespit edilmesi hasat ve rekolte tahmini sürecini geliştirerek ekonomik, çevreci ve sürdürülebilir tarımın önünü açar. Meyvecilikte modern çözümler geliştirmek, meyve bahçelerinin karmaşık ... -
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor and Francis Ltd., 2023)This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary ... -
Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
(Elsevier Ltd, 2023)Küçük Menderes River Basin (KMRB) is located in the western part of Turkey in the city of İzmir. The basin hosts about half a million people and 90% of the population makes their living from farming and animal husbandry. ... -
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ... -
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ... -
A comparative study of evolutionary computation and swarm-based methods applied to color quantization
(Elsevier Ltd, 2023)Color Quantization (CQ) is a complex and hard problem because selecting the best set of colors from many available colors and using that set to obtain a good quality image is an NP-complete problem. The use of evolutionary ... -
SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data
(Elsevier Ltd, 2023)Decentralized solar PhotoVoltaic (PV) is one of the most promising energy sources for cities and individuals pursuing energy self-sufficiency. Especially, the already available rooftop surfaces are a major contributor to ... -
Comparison of histogram-curve fitting-based and global threshold methods for cloud detection
(Institute for Ionics, 2023)The goal of this research is fit the best curve to the image histogram using polynomial (i.e., linear, quadratic, cubic, and quartic), Fourier and Gaussian with two different term numbers, and Bezier functions, and then ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet++
(Springer, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet plus
(SPRINGER, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ...
